concept learning 1encrypted traffic classification 1interpretability 1multimodal learning 1network traffic analysis 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification
Honglei Jin, Wenshuo Chen, Shaofeng Liang +6
The paper presents Traffic-CBM, a multimodal framework that classifies encrypted network traffic by converting flow statistics, temporal features, and byte-level data into hierarch…
cs.CV2026
ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion Control
Haozhe Jia, Jianfei Song, Yuan Zhang +5
We present ECHO, an edge--cloud framework for language-driven whole-body control of humanoid robots. A cloud-hosted diffusion-based text-to-motion generator synthesizes motion refe…